Isaac Slavitt
@isaacslavitt
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Co-founder and Principal Data Scientist at @drivendataorg | advocate for simple, reproducible data science (& occasionally even heed my own advice)
Boston
Joined August 2022
"Prioritizing municipal lead mitigation projects as a relaxed knapsack optimization: a method and case study" just published at @ifors_itor: https://t.co/oI6LM3z1jl Hoping other cities replicate work done in @TheCityofMalden targeting lead mitigation to minimize child exposure.
onlinelibrary.wiley.com
Lead pipe remediation budgets are limited and ought to maximize public health impact. This goal implies a nontrivial optimization problem; lead service lines connect water mains to individual...
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10 commandments of reliable data science https://t.co/ZW4OsSudfs
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(By the way, wish I had known about that paper before the talk -- we had a ton of overlap and would have loved to point people to it. Consider this a ringing endorsement!) https://t.co/cUdLVGdOWy 5/5
peerj.com
Traditionally, statistical training has focused primarily on mathematical derivations and proofs of statistical tests. The process of developing the technical artifact—that is, the paper, dashboard,...
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So much about accident analysis can be applied to technical work; specific errors are unique, but root causes are often well understood. @hspter drew this connection to the work of the work of @sidneydekkercom beautifully in her paper "Opinionated Analysis Development" (2017) 4/5
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TCT and CRM came out of the air safety field after the devastating Tenerife airport disaster where 583 died due to preventable error. (A picture of the wreckage served as the background of the 'motivation' slide in the talk https://t.co/RSUuh4kWmn) 3/5
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Ship's officers, especially those preparing for command, study past catastrophes through lenses of 'team coordination training' (TCT) and crew resource management (CRM), frameworks for "reducing the probability of human error by increasing individual and team effectiveness" 2/5
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Not often I get to combine experience from being a shipboard watch officer with the field of data science. But my recent @pydataglobal talk on norms for risk mitigation to prevent project failures was one small opportunity to draw some connections 🧵1/5
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My talk on more reliable data science research practices at PyData Global 2022 is up: https://t.co/jvje6bFNsg
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The video of my tutorial on Bayesian Decision Analysis, from PyData Global 2022, is available now. For links to the video, slides, and Jupyter notebook, start at https://t.co/CZnAaEsg1U
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Cool to see @Govlaunch has added @TheCityofMalden's lead service line replacement prioritization project: https://t.co/xljVXDZ1rw
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MEADS is a ensemble chain adaptation for Generalized HMC that uses multi-core CPUs and GPUs efficiently to sample with many chains. 👇 https://t.co/l01jrLRIfF
proceedings.mlr.press
Hamiltonian Monte Carlo (HMC) has become a go-to family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference problems, in part because we hav...
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There are between 6-12 million #leadpipes in use throughout the U.S., built on a legacy of hazardous #infrastructure. Explore BlueConduit's interactive #map to learn more about lead service line replacement: https://t.co/qIQaJJ492L
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